The Grok Bot host builds model requests, runs tools and saves the agent's state. Hosted services also handle identity, scheduling, sync and other features.

A message starts in the desktop app. The desktop sends it to the box host and shows the response. It also manages account connections and can run tools on the user's computer. The host builds the model's context, calls the provider, runs requested tools and saves the results. It then decides whether another model call is needed. The visible chat, model conversation and learned memory use separate stores. Changing the model provider leaves the other hosted service calls in place.

The original architecture sections cover public host 17e335e and desktop 0.52. The later comparison adds five-host source analysis, desktop .57.1 findings and isolated runtime measurements. Host and desktop have separate version number

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Written by the speakers and attendees of AIE Code Summit 2026

In 2001, 17 software engineers and leaders got together at a ski lodge in Snowbird, Utah to understand the biggest challenge of their time: heavyweight, documentation-driven software development processes.

Out of this we got the Agile Manifesto, four values and twelve principles that changed how most of the industry builds software.

Today we convene to build our own manifesto - the No AI Slop manifesto.

(by @andrestaltz)

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.